Compact full-text indexing of versioned document collections

Jinru He, Hao Yan, Torsten Suel

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We study the problem of creating highly compressed full-text index structures for versioned document collections, that is, collections that contain multiple versions of each document. Important examples of such collections are Wikipedia or the web page archive maintained by the Internet Archive. A straightforward indexing approach would simply treat each document version as a separate document, such that index size scales linearly with the number of versions. However, several authors have recently studied approaches that exploit the significant similarities between different versions of the same document to obtain much smaller index sizes. In this paper, we propose new techniques for organizing and compressing inverted index structures for such collections. We also perform a detailed experimental comparison of new techniques and the existing techniques in the literature. Our results on an archive of the English version of Wikipedia, and on a subset of the Internet Archive collection, show significant benefits over previous approaches.

    Original languageEnglish (US)
    Title of host publicationACM 18th International Conference on Information and Knowledge Management, CIKM 2009
    Pages415-424
    Number of pages10
    DOIs
    StatePublished - 2009
    EventACM 18th International Conference on Information and Knowledge Management, CIKM 2009 - Hong Kong, China
    Duration: Nov 2 2009Nov 6 2009

    Publication series

    NameInternational Conference on Information and Knowledge Management, Proceedings

    Other

    OtherACM 18th International Conference on Information and Knowledge Management, CIKM 2009
    CountryChina
    CityHong Kong
    Period11/2/0911/6/09

    Keywords

    • Inverted index
    • Inverted index compression
    • Search engines
    • Versioned documents
    • Web archives
    • Wikipedia

    ASJC Scopus subject areas

    • Decision Sciences(all)
    • Business, Management and Accounting(all)

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